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Clinical Data Management – Enterprise

On successful completion of this program, you will be certified and will have acquired knowledge, skills and competencies to start at an entry level role as Clinical Data Manager or similar.

COURSE Content

 Successfully complete the 4 competency modules below to obtain your VIARES Clinical Data Management Certificate.
  • Identify concepts in ethical reasoning which may influence our analysis & results from data.
  • Understand the process of data curation, & the custodial duty of data science. Learn some essential tools used by data scientists.
  • Investigate & manipulate data to learn its metadata, shape & robustness.
  • Identify an appropriate chart & present data to illustrate its core characteristics.
  • Recognise the importance & process for applying concepts of privacy & anonymity.
  • Integrate methods for metadata & archival into data management.
  • Investigate data distribution & confidence, & reshape using Pandas.
  • Illustrate core analysis with histograms & box plots.
  • Determine implications in collection, mining & recombination of open- & digital data.
  • Employ methods for presenting data for synthesis & usage, & employing methods for data maintenance.
  • Perform techniques in randomness & probability to understand distribution & likelihood.
  • Apply histograms, line charts & scatter plots to illustrate probability.
  • Acknowledge the privacy & confidentiality issues in data storage & security of personal data.
  • Recognise responsibilities & mechanisms for securing data-at-rest & data-in-motion.
  • Apply linear & continuous sampling methods to assess normal distributions.
  • Plot distributions as normal histograms & continuous curves.

VIARES CERTIFICATE

Upon enrollment you will receive your first certification “Confirmation of Enrollment”. After successful completion of the course and your exam, you get your personal “Course Certificate” including:

  • course title
  • contact hours
  • continuing education units (CEU)
  • your overall course score
  • date of completion
  • personal certificate verification code
 

We also show you how to best share your certificate on LinkedIn and other social media platforms.

Getting a clinical data management certificate can provide several benefits, including:

  • Enhancing your knowledge and skills: A clinical data management certificate program can provide you with in-depth knowledge and practical skills in data management, clinical research, and regulatory compliance. This can help you stay up-to-date with the latest trends, technologies, and best practices in the field, and enhance your marketability as a clinical data manager.
  • Advancing your career: A clinical data management certificate can demonstrate to employers that you have the knowledge, skills, and credentials required to manage clinical data effectively. This can increase your chances of getting hired for a clinical data management role, and help you advance your career to higher-level positions.
  • Increasing your earning potential: Clinical data management certificates can increase your earning potential by demonstrating that you have the skills and credentials required to effectively manage clinical data.
 

Overall, obtaining a clinical data management certificate can provide you with the knowledge, skills, and credentials required to excel in the field of clinical data management. It can help you advance your career, meet regulatory requirements, build valuable connections, and increase your earning potential.

Hear from our graduates

Yonjong

The VIARES Clinical Research Academy is a great resource for career development in clinical research. I appreciate Eric Klaver, Gabriele Disselhoff, and Gavin Chait for the effective training for the ICH GCP guideline and its application to the clinical

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trials. Thank you Dietmar Eglhofer for your responsive communication and support throughout the online training program. Thank you!

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Kabir

I joined this program with very little understanding of the clinical research guidelines and the drug development process. However, with the help of the instructors and the flexibility of their learning program, I have a rather comprehensive

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overview of the entire process and ICH GCP guidelines. Thanks to VIARES Academy for an interesting and well-organized clinical research program.

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reviews curated by judge.me

WHY BECOME A Clinical Data Manager?

There are several reasons why someone might consider a career as a clinical data manager:

  • Important role in the development of new treatments: Clinical data managers play a critical role in the development of new treatments by managing the data generated from clinical trials. They ensure that the data collected is accurate, complete, and consistent, which is necessary for regulatory approval of new treatments.
  • High demand for skilled professionals: The demand for clinical data managers is expected to grow in the coming years as the number of clinical trials conducted worldwide continues to increase. Skilled professionals in this field are in high demand, and this trend is likely to continue.
  • Competitive salary: Clinical data management is a specialized field, and as such, it commands a competitive salary. The salary of a clinical data manager can vary depending on several factors, such as location, experience, industry, and employer. However, according to data from salary comparison websites like Glassdoor and PayScale, the average salary for a clinical data manager in the United States is around $90,000 to $100,000 per year.
  • Opportunities for career advancement: Clinical data management is a growing field, which means there are opportunities for career advancement. With experience and additional training, clinical data managers can progress to senior-level positions, such as director of clinical data management or vice president of clinical operations.
  • Opportunity to contribute to public health: Clinical data managers have the opportunity to contribute to public health by ensuring that clinical trials are conducted ethically and that the data generated is of the highest quality. This work helps to ensure that safe and effective treatments are available to patients who need them.

 

Overall, becoming a clinical data manager can be a rewarding and challenging career that offers the opportunity to make a meaningful contribution to public health while also enjoying competitive compensation and opportunities for career advancement.

WHAT ARE TYPICAL RESPONSIBILITIES OF A Clinical Data Manager?

The typical responsibilities of a clinical data manager can vary depending on the specific company, organization, or project. However, some of the most common responsibilities of a clinical data manager include:

  • Designing and implementing clinical data management plans: Clinical data managers are responsible for designing and implementing data management plans for clinical trials or other research studies. This includes developing protocols, designing data capture forms, and developing data validation checks.
  • Ensuring data quality and integrity: Clinical data managers are responsible for ensuring that the data collected during clinical trials is accurate, complete, and consistent. They perform data cleaning, query resolution, and quality control activities to ensure the data is of high quality and integrity.
  • Managing data collection and storage: Clinical data managers oversee the collection, storage, and transfer of data throughout the course of a clinical trial. They may use various tools and technologies to manage data, such as electronic data capture systems, case report forms, and data management software.
  • Conducting data analysis and reporting: Clinical data managers analyze and interpret clinical trial data, preparing reports and presenting findings to various stakeholders. They also collaborate with statisticians and other data analysts to develop statistical analysis plans and perform statistical analyses.
  • Ensuring compliance with regulatory requirements: Clinical data managers ensure that clinical trials are conducted in compliance with applicable regulatory requirements, such as Good Clinical Practice (GCP) guidelines and data protection regulations.
  • Managing study timelines and budgets: Clinical data managers are responsible for managing timelines and budgets for data management activities within a clinical trial or research project. They collaborate with project managers and other stakeholders to ensure that data management activities are completed on time and within budget.

 

Overall, clinical data managers play a critical role in ensuring the accuracy, integrity, and quality of data generated in clinical trials and other research studies. They work closely with cross-functional teams to ensure that data management activities are completed in a timely and efficient manner, while complying with regulatory requirements and ensuring patient safety.

IS THIS THE BEST OPTION FOR ME?

To become a clinical data manager, you typically need a combination of education and experience in the healthcare, life sciences, or information technology fields. Here are some of the common backgrounds and qualifications for clinical data managers:

  • Education: A bachelor’s or advanced degree in a relevant field, such as health informatics, life sciences, data management, or computer science, is typically required. Many clinical data managers also have a graduate degree, such as a Master’s or Ph.D., in a related field.
  • Experience: Clinical data managers typically have several years of experience working in clinical research, data management, or a related field. 
  • Technical skills: Clinical data managers should have a strong understanding of data management principles, database design, and data analysis. They should also have experience working with electronic data capture (EDC) systems, clinical trial management systems (CTMS), and data management software.
  • Knowledge of regulatory requirements: Clinical data managers should have a solid understanding of regulatory requirements for clinical research, including Good Clinical Practice (GCP) guidelines, International Council for Harmonisation (ICH) guidelines, and data protection regulations.
  • Soft skills: Clinical data managers should have strong communication, problem-solving, and project management skills. They should be able to work collaboratively with cross-functional teams, manage timelines and budgets, and handle multiple priorities.

 

Overall, a combination of education, experience, technical skills, regulatory knowledge, and soft skills is essential to become a successful clinical data manager.

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